Fujitsu Develops Technology to Deliver Stable System Quality Even with Frequent Updates to Microservice Application Elements
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| Figure 1. Microservice Change Impact Image |
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| Figure2. Developed technologies |
While this approach has proven effective and versatile, in the past changes to a single microservice, including the addition of new features, could delay or otherwise impact the entire system. As a result, in order to ensure service quality, developers had to validate the entire system with every update. With the introduction of Fujitsu's new technology, which automatically adjusts parameters to guarantee proper operations for the entire system, users can now easily maintain service quality even when making changes to microservices.
This allows systems administrators to enjoy the full benefits of a microservice architecture, enabling rapid system improvement while still allowing developers to make changes as frequently as needed with consistent, high-quality service.
Background of the development
Microservice architecture is a software development method in which multiple, discrete service elements (microservices) are developed and operated separately and connected together to form a single system. Web services like e-commerce and travel sites, which require frequent updates for new features or user interface revisions, increasingly rely on microservice architecture in development for this reason.
Issues
If a new function for electronic money transactions for smart phone is added to the settlement service in an EC site, for example, it can impact the performance of other services related to the main system by causing delays and decreases in accepting incoming user traffic. This means that in order to maintain service quality, developers must verify the entire system from a user experience perspective even after making updates to just one microservice.
Developed technologies
Fujitsu has developed a technology that automatically adjusts the configuration parameters for each microservice in the execution infrastructure according to service priorities including response time, availability, and cost. This ensures continuity and quality for the entire service when an individual microservice undergoes updates. The features of this technology are as follows.
1. Simulation technology to estimate service quality
Based on queueing theory, the technology uses mathematical models to analyze waiting lists and mitigation measures to model communication between microservices inside the system between the moment a user makes a request until the system responds. Leveraging this technology, Fujitsu has developed a technology that simulates the behavior of the system overall, including the amount of communication and the time required in response to an update to an individual microservice. This enables developers to readily quantify both the quality of the overall service as well as individual microservices.
2. Automatic adjustment technique to search for optimal parameters
By combining genetic algorithms(1) and quality simulation techniques, Fujitsu has developed a technology that searches for the optimal combination of configuration parameters, such as CPU /memory allocation, and number of retries, given the quality requirements of the services as constraints. This allows developers to quickly determine configuration parameters that balance quality of service with quality of individual microservices. The technology additionally adjusts the parameters automatically to set a timeout period for communication that doesn't frustrate users in the case of a delay, or to determine what happens when a low-priority service is disconnected to prevent disruptions in communication between users and the system.
Outcome
An in-house streaming service built with the microservice platforms Kubernetes(2) and Istio(3) has been used to confirm that parameter adjustments configured with the newly-developed technology can reduce the time required from 3 days for manual revision to just 1 hour.Future Plans
Fujitsu Laboratories is working to further increase the speed of this technology, and after the conclusion of in-house trials in September 2019, Fujitsu aims to put the new technology into practical use in fiscal 2020.
(1) Genetic Algorithm A method to search for solutions simulating the evolutionary process of organisms.(2) Kubernetes An open source management infrastructure for deploying containerized applications on a container infrastructure.(3) Istio An open source management platform that provides control and metering of communications between microservices.
About Fujitsu Laboratories
Founded in 1968 as a wholly owned subsidiary of Fujitsu Limited, Fujitsu Laboratories Ltd. is one of the premier research centers in the world. With a global network of laboratories in Japan, China, the United States and Europe, the organization conducts a wide range of basic and applied research in the areas of Next-generation Services, Computer Servers, Networks, Electronic Devices and Advanced Materials. For more information, please see: http://www.fujitsu.com/jp/group/labs/en/.
About Fujitsu Ltd
Fujitsu is the leading Japanese information and communication technology (ICT) company, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of ICT to shape the future of society with our customers. For more information, please see www.fujitsu.com.
This release can be found at https://www.fujitsu.com/global/about/resources/news/press-releases/2019/.
Contact:Fujitsu Laboratories Ltd. Development Technology Project E-mail: tmsa@ml.labs.fujitsu.com Fujitsu Limited Public and Investor Relations Tel: +81-3-3215-5259 URL: www.fujitsu.com/global/news/contacts/
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Authors: ACN Newswire - Press Releases
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